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yt-pipeline

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End-to-end YouTube research pipeline.

Content & Communication#research#youtube#notebooklm#content-strategy#video-analysis#topic-analysis
Authorscanbott
Version1.0.0
Installs0

System Documentation

What problem does it solve?

End-to-end YouTube research is automated: discovering relevant videos, analyzing trends, and producing structured takeaways to inform content strategy and decision-making.

Core Features & Use Cases

  • End-to-end YouTube research pipeline: topic input, search, multi-angle video scoring, NotebookLM integration, deep analysis prompts, and optional deliverables like podcasts, slide decks, reports, or scripts.
  • Automated video selection: selects 5-8 best videos by relevance, engagement, recency, and diversity.
  • Deliverables generation: creates notebooks and supports outputs (podcast, slide deck, report, YouTube script).
  • Reusable workflow for competitor analysis, topic deep-dives, and knowledge capture.

Quick Start

Provide a topic to run the end-to-end pipeline and generate a NotebookLM notebook with takeaways.

Dependency Matrix

Required Modules

None required

Components

scripts

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: yt-pipeline
Download link: https://github.com/scanbott/claude-skills/archive/main.zip#yt-pipeline

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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